If past AI was helping humans “write emails,” the future AI is learning to help humans “do business.” UBS released a recent research report, using a baseball term to describe the current AI transformation—”Top of the third inning.” This means the game has just begun, and we are far from the decisive moment. According to … Read more
Definition and Positioning AI Agent: Refers to an artificial intelligence entity that is independent and goal-driven, essentially a software program that executes specific tasks based on rules or models. It acts like a reliable dedicated assistant, focusing on handling a single, clear task, operating only within a predefined framework. Examples include an assistant for automatically … Read more
Background of Agentic AI The initial product form of LLM was the ChatBot led by OpenAI, supported by the Transformer architecture large language model, which initially focused on AI applications in the field of language text. LLM ChatBots have profoundly changed our work and life. With the popularization of LLM technology in toC and toB … Read more
Recently, a Chinese team launched the world’s first general-purpose AI Agent—Manus AI, which has quickly ignited the tech community. It is not just a simple text generation tool, but an ‘intelligent intern’ capable of autonomously planning, executing complex tasks, and delivering complete results. NVIDIA CEO Jensen Huang clearly stated at the GTC conference that: Agentic … Read more
Click the blue text above to follow us AGI Nebula Factory (Longhun Nebula (Chengdu) Storage Technology Co., Ltd.) provides a comprehensive overview of the core principles of AI agents based on practical experience, from the concept of “Agentic” to the specific implementation of “AI Agent”. 01.Section: Foundational Concepts: The Paradigm Shift from “Tools” to “Agents” … Read more
The Core Differences Between AI Agents and Agentic AI An AI Agent is a task execution unit based on large models, capable of understanding requirements, planning paths, and invoking tools, focusing on achieving a single goal (such as intelligent customer service handling user inquiries). Its core components include large models, planning modules, memory storage, and … Read more
As the wave of generative AI has not yet receded, a deeper transformation driven by autonomous agents (Agentic AI) is quietly approaching. AI is evolving from a tool that passively responds to commands into a “digital employee” capable of autonomous perception, decision-making, and action. They are rapidly embedded into core business processes and critical systems, … Read more
As AI begins to deeply integrate into every business process of enterprises as a “silicon-based employee”, the concept of “collaborating with agents to complete complex tasks” is transforming from a science fiction imagination into daily practice. The development of enterprise-level AI is standing at the critical point of a paradigm revolution. Recently, at the 11th … Read more
The Essence of AI Agents An AI Agent is an intelligent entity equipped withenvironmental perception, intelligent decision-making, andautonomous action capabilities. Its core characteristics include: Autonomy: Making decisions, planning steps, and executing based on goals Continuous Environmental Interaction: Operating continuously in dynamic environments and adapting to changes Complex Task Handling: Breaking down grand objectives into executable … Read more
Introduction: This afternoon, I arranged to have tea with Wu Da Si Ge and Li Huizhang from Wuhan Textile University. While waiting for them to arrive, I would like to share some of my personal thoughts on the currently popular concept of AI Agents. 1. Differences between AI Agents and Agentic AI. They are two … Read more